CodeIO-PyEdu-Reasoning

# CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction

<p align="left">
📑 <a href="https://huggingface.co/papers/2502.07316" target="_blank">Paper</a> &nbsp&nbsp | &nbsp&nbsp 🌐 <a href="https://codei-o.github.io/" target="_blank">Project Page</a> &nbsp&nbsp | &nbsp&nbsp 💾 <a href="https://huggingface.co/collections/hkust-nlp/codei-o-67a978e28fd926b56a4f55a2" target="_blank">Released Resources</a> &nbsp&nbsp | &nbsp&nbsp 📦 <a href="https://github.com/hkust-nlp/CodeIO" target="_blank">Repo</a>

This is the resource page of the CodeI/O collection on Huggingface, we highlight your currect position with a blue block.

**Dataset**
<table>
<tr>
<th>Dataset</th>
<th>Link</th>
</tr>
<tr>
<td>CodeI/O-PythonEdu-Reasoning</td>
<td style="background-color: #e6f3ff; text-align: center; vertical-align: middle;">
<a href="https://huggingface.co/datasets/hkust-nlp/CodeIO-PyEdu-Reasoning">🤗</a>
</td>
</tr>
</table>

Please also check the raw data after our processing if you are interested: [hkust-nlp/CodeIO-PyEdu-Reasoning-Raw](https://huggingface.co/datasets/hkust-nlp/CodeIO-PyEdu-Reasoning-Raw).

**Models**
<table>
<tr>
<th rowspan="2">Base Model / Training</th>
<th colspan="2">CodeI/O</th>
<th colspan="2">CodeI/O++</th>
</tr>
<tr>
<th>Stage 1</th>
<th>Stage 2</th>
<th>Stage 1</th>
<th>Stage 2</th>
</tr>
<tr>
<td>Qwen 2.5 7B Coder</td>
<td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/qwen2.5-7b-coder_codeio_stage1">🤗</a></td>
<td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/qwen2.5-7b-coder_codeio">🤗</a></td>
<td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/qwen2.5-7b-coder_codeio_pp_stage1">🤗</a></td>
<td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/qwen2.5-7b-coder_codeio_pp">🤗</a></td>
</tr>
<tr>
<td>LLaMA 3.1 8B</td>
<td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/llama3.1-8b_codeio_stage1">🤗</a></td>
<td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/llama3.1-8b_codeio">🤗</a></td>
<td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/llama3.1-8b_codeio_pp_stage1">🤗</a></td>
<td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/llama3.1-8b_codeio_pp">🤗</a></td>
</tr>
<tr>
<td>DeepSeek v2 Lite Coder</td>
<td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/dsv2-lite-coder_codeio_stage1">🤗</a></td>
<td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/dsv2-lite-coder_codeio">🤗</a></td>
<td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/dsv2-lite-coder_codeio_pp_stage1">🤗</a></td>
<td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/dsv2-lite-coder_codeio_pp">🤗</a></td>
</tr>
</table>

## Citation
If you find these resources helpful, please kindly cite as:
```
@article{li2025codeio,
title={CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction},
author={Li, Junlong and Guo, Daya and Yang, Dejian and Xu, Runxin and Wu, Yu and He, Junxian},
journal={arXiv preprint arXiv:2502.07316},
year={2025}
}
```

# CodeI/O：基于代码输入-输出预测凝练推理模式

<p align="left">
📑 <a href="https://huggingface.co/papers/2502.07316" target="_blank">论文</a> &nbsp&nbsp | &nbsp&nbsp 🌐 <a href="https://codei-o.github.io/" target="_blank">项目主页</a> &nbsp&nbsp | &nbsp&nbsp 💾 <a href="https://huggingface.co/collections/hkust-nlp/codei-o-67a978e28fd926b56a4f55a2" target="_blank">已发布资源</a> &nbsp&nbsp | &nbsp&nbsp 📦 <a href="https://github.com/hkust-nlp/CodeIO" target="_blank">代码仓库</a>
</p>

本页面为Huggingface平台上的CodeI/O合集资源页，我们以蓝色区块高亮标注您当前所处的位置。

**数据集**
<table>
<tr>
<th>数据集</th>
<th>链接</th>
</tr>
<tr>
<td>CodeI/O-PythonEdu-Reasoning</td>
<td style="background-color: #e6f3ff; text-align: center; vertical-align: middle;">
<a href="https://huggingface.co/datasets/hkust-nlp/CodeIO-PyEdu-Reasoning">🤗</a>
</td>
</tr>
</table>

若您感兴趣，亦可查看我们处理后的原始数据：[hkust-nlp/CodeIO-PyEdu-Reasoning-Raw](https://huggingface.co/datasets/hkust-nlp/CodeIO-PyEdu-Reasoning-Raw)。

**模型**
<table>
<tr>
<th rowspan="2">基础模型 / 训练方式</th>
<th colspan="2">CodeI/O</th>
<th colspan="2">CodeI/O++</th>
</tr>
<tr>
<th>阶段1</th>
<th>阶段2</th>
<th>阶段1</th>
<th>阶段2</th>
</tr>
<tr>
<td>Qwen 2.5 7B Coder</td>
<td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/qwen2.5-7b-coder_codeio_stage1">🤗</a></td>
<td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/qwen2.5-7b-coder_codeio">🤗</a></td>
<td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/qwen2.5-7b-coder_codeio_pp_stage1">🤗</a></td>
<td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/qwen2.5-7b-coder_codeio_pp">🤗</a></td>
</tr>
<tr>
<td>LLaMA 3.1 8B</td>
<td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/llama3.1-8b_codeio_stage1">🤗</a></td>
<td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/llama3.1-8b_codeio">🤗</a></td>
<td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/llama3.1-8b_codeio_pp_stage1">🤗</a></td>
<td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/llama3.1-8b_codeio_pp">🤗</a></td>
</tr>
<tr>
<td>DeepSeek v2 Lite Coder</td>
<td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/dsv2-lite-coder_codeio_stage1">🤗</a></td>
<td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/dsv2-lite-coder_codeio">🤗</a></td>
<td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/dsv2-lite-coder_codeio_pp_stage1">🤗</a></td>
<td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/dsv2-lite-coder_codeio_pp">🤗</a></td>
</tr>
</table>

**引用格式**
若您认为这些资源对您的研究有所帮助，请按如下格式引用：

@article{li2025codeio,
title={CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction},
author={Li, Junlong and Guo, Daya and Yang, Dejian and Xu, Runxin and Wu, Yu and He, Junxian},
journal={arXiv preprint arXiv:2502.07316},
year={2025}
}